Scales

Scale.alpha_continuous

using Gadfly
set_default_plot_size(21cm, 8cm)
palettef = Scale.lab_gradient("darkgreen", "orange", "blue")
p1 = plot(x=1:10, y=rand(10), color=1:10, Geom.point,
    Scale.color_continuous(colormap=palettef, minvalue=0, maxvalue=10),
    Guide.title("Scale.color_continuous, Theme(alphas=[0.5])"),
    Theme(alphas=[0.5], continuous_highlight_color=identity,
        point_size=2mm)
)
p2 = plot(x=1:10, y=rand(10), alpha=1:10, Geom.point,
    Scale.alpha_continuous(minvalue=0, maxvalue=10),
    Guide.title("Scale.alpha_continuous, Theme(default_color=\"blue\")"),
    Theme(default_color="blue", discrete_highlight_color=c->"gray",
        point_size=2mm)
)
hstack(p1, p2)
x -12.5 -10.0 -7.5 -5.0 -2.5 0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0 22.5 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 -10 0 10 20 -10.0 -9.5 -9.0 -8.5 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 16.5 17.0 17.5 18.0 18.5 19.0 19.5 20.0 100.24658855130584367 90.49517975315246776 80.07289668280647121 70.4906124401814258 60.43434617036521816 50.5724606403003125 40.8686079868836691 30.7085201928079876 20.8378548593754451 10.26821078678403854 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.2 -1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 y Scale.alpha_continuous, Theme(default_color="blue") x -12.5 -10.0 -7.5 -5.0 -2.5 0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0 22.5 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 -10 0 10 20 -10.0 -9.5 -9.0 -8.5 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 16.5 17.0 17.5 18.0 18.5 19.0 19.5 20.0 0 5 10 Color 100.5863865793364943 90.9306041691396288 80.11006755847278338 70.11170689373816944 60.12769550445762112 50.7122125858644275 40.4095405245444842 30.8553911040096446 20.9747623254230066 10.5696168736133969 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.25 -1.00 -0.75 -0.50 -0.25 0.00 0.25 0.50 0.75 1.00 1.25 1.50 1.75 2.00 2.25 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 y Scale.color_continuous, Theme(alphas=[0.5])

Scale.alpha_discrete

using DataFrames, Gadfly
set_default_plot_size(21cm, 8cm)
D = DataFrame(x=1:6, y=rand(6), Shape=repeat(["a","b","c"], outer=2))
coord = Coord.cartesian(xmin=0, xmax=7, ymin=0, ymax=1.0)
p1 = plot(D, x=:x, y=:y, color=:x,  coord,
    Scale.color_discrete, Geom.point, Geom.hair,
    Guide.title("Scale.color_discrete, Theme(alphas=[0.5])"),
    Theme(alphas=[0.5], discrete_highlight_color=identity,
        point_size=2mm)
)
p2 = plot(D, x=:x, y=:y, alpha=:x, shape=:Shape, coord,
    Scale.alpha_discrete, Geom.point, Geom.hair,
    Guide.title("Scale.alpha_discrete, Theme(default_color=\"green\")"),
    Theme(default_color="green", discrete_highlight_color=c->"gray",
        point_size=2mm, alphas=[0.0,0.2,0.4,0.6,0.8,1.0])
)
hstack(p1,p2)
x -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 -10 0 10 20 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 a b c Shape 60.8684153590258531 50.14380034789420837 40.7222584485530672 30.6772406437592121 20.888786867788131 10.7867074118709283 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 y Scale.alpha_discrete, Theme(default_color="green") x -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 -10 0 10 20 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 1 2 3 4 5 6 x 60.8684153590258531 50.14380034789420837 40.7222584485530672 30.6772406437592121 20.888786867788131 10.7867074118709283 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 y Scale.color_discrete, Theme(alphas=[0.5])

Scale.color_continuous

using Gadfly
set_default_plot_size(21cm, 8cm)
xdata, ydata, cdata = rand(12), rand(12), rand(12)
p1 = plot(x=xdata, y=ydata, color=cdata)
p2 = plot(x=xdata, y=ydata, color=cdata,
          Scale.color_continuous(minvalue=-1, maxvalue=1))
hstack(p1,p2)
x -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 0.0 0.5 -1.0 -0.5 1.0 Color 0.96119831863786440.1595272999201518 0.115112982323238740.5781025592126303 0.65070987743012040.5529994263352648 0.481221393497027860.8884699477036363 0.78049709389033990.508993026305524 0.7847526185671560.37451078561795426 0.6808548435123430.12466165090018144 0.092332677456060890.8279542124429629 0.26167012679026180.7657907407581404 0.45879147610375750.3006781327210961 0.84960738283504790.317064489870563 0.256122758428844130.3656330575108526 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.25 -1.00 -0.75 -0.50 -0.25 0.00 0.25 0.50 0.75 1.00 1.25 1.50 1.75 2.00 2.25 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 y x -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 0.5 0.0 1.0 Color 0.96119831863786440.1595272999201518 0.115112982323238740.5781025592126303 0.65070987743012040.5529994263352648 0.481221393497027860.8884699477036363 0.78049709389033990.508993026305524 0.7847526185671560.37451078561795426 0.6808548435123430.12466165090018144 0.092332677456060890.8279542124429629 0.26167012679026180.7657907407581404 0.45879147610375750.3006781327210961 0.84960738283504790.317064489870563 0.256122758428844130.3656330575108526 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.25 -1.00 -0.75 -0.50 -0.25 0.00 0.25 0.50 0.75 1.00 1.25 1.50 1.75 2.00 2.25 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 y
using Gadfly, Colors
set_default_plot_size(21cm, 8cm)
x = repeat((1:10).-0.5, inner=[10])
y = repeat((1:10).-0.5, outer=[10])
p1 = plot(x=x, y=y, color=x+y, Geom.rectbin,
          Scale.color_continuous(colormap=p->RGB(0,p,0)))
p2 = plot(x=x, y=y, color=x+y, Geom.rectbin,
          Scale.color_continuous(colormap=Scale.lab_gradient("green", "white", "red")))
p3 = plot(x=x, y=y, color=x+y, Geom.rectbin,
          Scale.color_continuous(colormap=p->RGB(0,p,0), minvalue=-20))
hstack(p1,p2,p3)
x -15 -10 -5 0 5 10 15 20 25 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 -10 0 10 20 -10.0 -9.5 -9.0 -8.5 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 16.5 17.0 17.5 18.0 18.5 19.0 19.5 20.0 -20 0 20 -10 10 Color h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -15 -10 -5 0 5 10 15 20 25 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 -10 0 10 20 -10.0 -9.5 -9.0 -8.5 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 16.5 17.0 17.5 18.0 18.5 19.0 19.5 20.0 y x -15 -10 -5 0 5 10 15 20 25 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 -10 0 10 20 -10.0 -9.5 -9.0 -8.5 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 16.5 17.0 17.5 18.0 18.5 19.0 19.5 20.0 1 20 5 10 15 Color h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -15 -10 -5 0 5 10 15 20 25 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 -10 0 10 20 -10.0 -9.5 -9.0 -8.5 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 16.5 17.0 17.5 18.0 18.5 19.0 19.5 20.0 y x -15 -10 -5 0 5 10 15 20 25 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 -10 0 10 20 -10.0 -9.5 -9.0 -8.5 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 16.5 17.0 17.5 18.0 18.5 19.0 19.5 20.0 1 20 10 15 5 Color h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -15 -10 -5 0 5 10 15 20 25 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 -10 0 10 20 -10.0 -9.5 -9.0 -8.5 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 16.5 17.0 17.5 18.0 18.5 19.0 19.5 20.0 y

Scale.color_discrete_hue

using Gadfly, Colors, RDatasets, Random
set_default_plot_size(14cm, 8cm)
Random.seed!(1234)

function gen_colors(n)
    cs = distinguishable_colors(n,
                                [colorant"#FE4365", colorant"#eca25c"],
                                lchoices = Float64[58, 45, 72.5, 90],
                                transform = c -> deuteranopic(c, 0.1),
                                cchoices = Float64[20,40],
                                hchoices = [75,51,35,120,180,210,270,310])

    convert(Vector{Color}, cs)
end

iris = dataset("datasets", "iris")
plot(iris, x=:SepalLength, y=:SepalWidth, color=:Species,
     Geom.point, Scale.color_discrete(gen_colors))
SepalLength -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 0 5 10 15 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.8 3.0 3.2 3.4 3.6 3.8 4.0 4.2 4.4 4.6 4.8 5.0 5.2 5.4 5.6 5.8 6.0 6.2 6.4 6.6 6.8 7.0 7.2 7.4 7.6 7.8 8.0 8.2 8.4 8.6 8.8 9.0 9.2 9.4 9.6 9.8 10.0 10.2 10.4 10.6 10.8 11.0 11.2 11.4 11.6 11.8 12.0 setosa versicolor virginica Species 5.9,3.0 6.2,3.4 6.5,3.0 6.3,2.5 6.7,3.0 6.7,3.3 6.8,3.2 5.8,2.7 6.9,3.1 6.7,3.1 6.9,3.1 6.0,3.0 6.4,3.1 6.3,3.4 7.7,3.0 6.1,2.6 6.3,2.8 6.4,2.8 7.9,3.8 7.4,2.8 7.2,3.0 6.4,2.8 6.1,3.0 6.2,2.8 7.2,3.2 6.7,3.3 6.3,2.7 7.7,2.8 5.6,2.8 6.9,3.2 6.0,2.2 7.7,2.6 7.7,3.8 6.5,3.0 6.4,3.2 5.8,2.8 5.7,2.5 6.8,3.0 6.4,2.7 6.5,3.2 7.2,3.6 6.7,2.5 7.3,2.9 4.9,2.5 7.6,3.0 6.5,3.0 6.3,2.9 7.1,3.0 5.8,2.7 6.3,3.3 5.7,2.8 5.1,2.5 6.2,2.9 5.7,2.9 5.7,3.0 5.6,2.7 5.0,2.3 5.8,2.6 6.1,3.0 5.5,2.6 5.5,2.5 5.6,3.0 6.3,2.3 6.7,3.1 6.0,3.4 5.4,3.0 6.0,2.7 5.8,2.7 5.5,2.4 5.5,2.4 5.7,2.6 6.0,2.9 6.7,3.0 6.8,2.8 6.6,3.0 6.4,2.9 6.1,2.8 6.3,2.5 6.1,2.8 5.9,3.2 5.6,2.5 6.2,2.2 5.8,2.7 5.6,3.0 6.7,3.1 5.6,2.9 6.1,2.9 6.0,2.2 5.9,3.0 5.0,2.0 5.2,2.7 6.6,2.9 4.9,2.4 6.3,3.3 5.7,2.8 6.5,2.8 5.5,2.3 6.9,3.1 6.4,3.2 7.0,3.2 5.0,3.3 5.3,3.7 4.6,3.2 5.1,3.8 4.8,3.0 5.1,3.8 5.0,3.5 4.4,3.2 4.5,2.3 5.0,3.5 5.1,3.4 4.4,3.0 4.9,3.6 5.5,3.5 5.0,3.2 4.9,3.1 5.5,4.2 5.2,4.1 5.4,3.4 4.8,3.1 4.7,3.2 5.2,3.4 5.2,3.5 5.0,3.4 5.0,3.0 4.8,3.4 5.1,3.3 4.6,3.6 5.1,3.7 5.4,3.4 5.1,3.8 5.7,3.8 5.1,3.5 5.4,3.9 5.7,4.4 5.8,4.0 4.3,3.0 4.8,3.0 4.8,3.4 5.4,3.7 4.9,3.1 4.4,2.9 5.0,3.4 4.6,3.4 5.4,3.9 5.0,3.6 4.6,3.1 4.7,3.2 4.9,3.0 5.1,3.5 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.8 3.0 3.2 3.4 3.6 3.8 4.0 4.2 4.4 4.6 4.8 5.0 5.2 5.4 5.6 5.8 6.0 6.2 6.4 6.6 6.8 7.0 -2.5 0.0 2.5 5.0 7.5 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 4.0 4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.8 4.9 5.0 5.1 5.2 5.3 5.4 5.5 5.6 5.7 5.8 5.9 6.0 6.1 6.2 6.3 6.4 6.5 6.6 6.7 6.8 6.9 7.0 SepalWidth
using Gadfly, Random
set_default_plot_size(21cm, 8cm)
Random.seed!(1234)
xdata, ydata = rand(12), rand(12)
p1 = plot(x=xdata, y=ydata, color=repeat([1,2,3], outer=[4]))
p2 = plot(x=xdata, y=ydata, color=repeat([1,2,3], outer=[4]), Scale.color_discrete)
hstack(p1,p2)
x -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 1 2 3 Color 0.67764990759957790.5017559785534852 0.57432348527831740.07317091398651498 0.94645322623138340.5318991227335902 0.131025656220859040.13468533068030597 0.9671427689153830.6488738204928581 0.83962193405807110.1240744988933431 0.63956159968027340.40573030892222206 0.5203549937237180.012846056572255682 0.0149088492850999450.5239478383832243 0.97213608245546870.8406409194782338 0.41129411794985050.5257956638691226 0.57986212013413240.08344008943212289 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.2 -1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 y x -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 2.0 2.5 1.0 1.5 3.0 Color 0.67764990759957790.5017559785534852 0.57432348527831740.07317091398651498 0.94645322623138340.5318991227335902 0.131025656220859040.13468533068030597 0.9671427689153830.6488738204928581 0.83962193405807110.1240744988933431 0.63956159968027340.40573030892222206 0.5203549937237180.012846056572255682 0.0149088492850999450.5239478383832243 0.97213608245546870.8406409194782338 0.41129411794985050.5257956638691226 0.57986212013413240.08344008943212289 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.2 -1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 y

Scale.color_discrete_manual

using Gadfly, Random
Random.seed!(12345)
set_default_plot_size(14cm, 8cm)
plot(x=rand(12), y=rand(12), color=repeat(["a","b","c"], outer=[4]),
     Scale.color_discrete_manual("red","purple","green"))
x -1.2 -1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 a b c Color 0.0310609186126986620.04293814022937559 0.475029014839510.9740319522241508 0.89995109691667940.5127575527062539 0.63384794535321030.22714523410904908 0.75290568059900610.311871228936334 0.311326827237250140.8959062005181729 0.91781382218318420.27705458732580956 0.79662920335378330.46875054050900267 0.81139226570110570.24458973555203245 0.334191427476060.9736588395655787 0.15957899969941080.29579983859112813 0.79180540386479080.6853069230253171 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 y
using Gadfly, RDatasets, DataFrames
set_default_plot_size(14cm, 8cm)
hecolor = dataset("datasets","HairEyeColor")
D = combine(groupby(hecolor, [:Eye,:Sex]), :Freq=>sum=>:Frequency)
palette = ["brown","blue","tan","green"] # Is there a hazel color?
pa = plot(D, x=:Sex, y=:Frequency, color=:Eye, Geom.bar(position=:stack),
          Scale.color_discrete_manual(palette...))
pb = plot(D, x=:Sex, y=:Frequency, color=:Eye, Geom.bar(position=:stack),
          Scale.color_discrete_manual(palette[4:-1:1]..., order=[4,3,2,1]))
hstack(pa,pb)
Sex Male Female Green Hazel Blue Brown Eye h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -500 -400 -300 -200 -100 0 100 200 300 400 500 600 700 800 900 -400 -350 -300 -250 -200 -150 -100 -50 0 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 -500 0 500 1000 -400 -380 -360 -340 -320 -300 -280 -260 -240 -220 -200 -180 -160 -140 -120 -100 -80 -60 -40 -20 0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460 480 500 520 540 560 580 600 620 640 660 680 700 720 740 760 780 800 Frequency Sex Male Female Brown Blue Hazel Green Eye h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -500 -400 -300 -200 -100 0 100 200 300 400 500 600 700 800 900 -400 -350 -300 -250 -200 -150 -100 -50 0 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 -500 0 500 1000 -400 -380 -360 -340 -320 -300 -280 -260 -240 -220 -200 -180 -160 -140 -120 -100 -80 -60 -40 -20 0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460 480 500 520 540 560 580 600 620 640 660 680 700 720 740 760 780 800 Frequency

Scale.linestyle_discrete

using DataFrames, Gadfly, RDatasets
set_default_plot_size(18cm, 8cm)

labs = ["exp", "sqrt", "log", "winsor", "linear"]
funcs = [x->60*(1.0.-exp.(-0.2*x)), x->sqrt.(x)*10, x->log.(x)*10,
    x->clamp.(x,5,26), x->x*0.6]
x = [1.0:30;]
D = vcat([DataFrame(x=x, y=f(x), linev=l) for (f,l) in zip(funcs, labs)]...)
D[134:136,:y] .= NaN

p1 = plot(D, x=:x, y=:y, linestyle=:linev, Geom.line)
p2 = plot(dataset("datasets", "CO2"), x=:Conc, y=:Uptake,
    group=:Plant, linestyle=:Treatment, color=:Type, Geom.line,
    Scale.linestyle_discrete(order=[2,1]),
    Theme(key_position=:top, key_title_font_size=-8mm))
hstack(p1,p2)
Conc -1250 -1000 -750 -500 -250 0 250 500 750 1000 1250 1500 1750 2000 2250 -1000 -900 -800 -700 -600 -500 -400 -300 -200 -100 0 100 200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900 2000 -1000 0 1000 2000 -1000 -950 -900 -850 -800 -750 -700 -650 -600 -550 -500 -450 -400 -350 -300 -250 -200 -150 -100 -50 0 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 850 900 950 1000 1050 1100 1150 1200 1250 1300 1350 1400 1450 1500 1550 1600 1650 1700 1750 1800 1850 1900 1950 2000 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -60 -50 -40 -30 -20 -10 0 10 20 30 40 50 60 70 80 90 100 110 -50 -45 -40 -35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 -50 0 50 100 -50 -48 -46 -44 -42 -40 -38 -36 -34 -32 -30 -28 -26 -24 -22 -20 -18 -16 -14 -12 -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 94 96 98 100 Uptake Mississippi Quebec Type x -40 -30 -20 -10 0 10 20 30 40 50 60 70 -30 -28 -26 -24 -22 -20 -18 -16 -14 -12 -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 -30 0 30 60 -30 -29 -28 -27 -26 -25 -24 -23 -22 -21 -20 -19 -18 -17 -16 -15 -14 -13 -12 -11 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -70 -60 -50 -40 -30 -20 -10 0 10 20 30 40 50 60 70 80 90 100 110 120 130 -60 -55 -50 -45 -40 -35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 -100 0 100 200 -60 -58 -56 -54 -52 -50 -48 -46 -44 -42 -40 -38 -36 -34 -32 -30 -28 -26 -24 -22 -20 -18 -16 -14 -12 -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 94 96 98 100 102 104 106 108 110 112 114 116 118 120 y

Scale.shape_discrete

using Gadfly, RDatasets, Statistics
set_default_plot_size(14cm, 8cm)

tips = dataset("reshape2", "tips")
tipsm = combine(groupby(tips, [:Day, :Sex]), [:TotalBill, :Tip].=>mean)

plot(tipsm, Geom.point,
    x=:TotalBill_mean, y=:Tip_mean, color=:Sex, shape=:Day,
    layer(x=:TotalBill_mean, y=:Tip_mean, group=:Day, Geom.line,
        color=[colorant"gray"]),
    Scale.shape_discrete(levels=["Thur","Fri","Sat","Sun"]),
    Guide.shapekey(pos=[14.5, 3.8]), Guide.colorkey(pos=[16, 3.87]),
    Theme(discrete_highlight_color=identity, alphas=[0.1],
        point_size=5pt, key_swatch_color="slategray")
)
TotalBill_mean 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 0 10 20 30 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 16.5 17.0 17.5 18.0 18.5 19.0 19.5 20.0 20.5 21.0 21.5 22.0 22.5 23.0 23.5 24.0 24.5 25.0 25.5 26.0 26.5 27.0 27.5 28.0 28.5 29.0 29.5 30.0 18.7146666666666662.9803333333333333 16.71531252.5756250000000005 21.8872413793103463.2203448275862083 19.872222222222223.3672222222222223 20.802542372881353.0838983050847455 19.6803571428571372.801785714285714 19.8572.693 14.1455555555555552.781111111111111 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? Female Male Sex Thur Fri Sat Sun Day 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 4.0 4.1 4.2 4.3 4.4 4.5 1 2 3 4 5 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 2.05 2.10 2.15 2.20 2.25 2.30 2.35 2.40 2.45 2.50 2.55 2.60 2.65 2.70 2.75 2.80 2.85 2.90 2.95 3.00 3.05 3.10 3.15 3.20 3.25 3.30 3.35 3.40 3.45 3.50 3.55 3.60 3.65 3.70 3.75 3.80 3.85 3.90 3.95 4.00 4.05 4.10 4.15 4.20 4.25 4.30 4.35 4.40 4.45 4.50 Tip_mean

Scale.size_radius, Scale.size_area

using Gadfly, RDatasets
set_default_plot_size(21cm, 8cm)
aq = dropmissing(dataset("datasets","airquality"))
aq = filter(x-> 7≤x.Month≤9, aq)

sizemap(p::Float64; min=0.75mm, max=3mm) = min + p*(max-min)
labels = ["July", "August", "September"]
coord = Coord.cartesian(xmin=0, xmax=32, ymin=0, ymax=160)
plot(aq, x=:Day, y=:Ozone, color=:Month, size=:Wind,
    coord, Scale.color_discrete,
    Guide.colorkey(title="", labels=labels, pos=[2,240]),
    Scale.size_area(sizemap, minvalue=4, maxvalue=16),
    Guide.sizekey(title="Wind (mph)"), Guide.xlabel("Day of Month"),
    Theme(key_swatch_shape=Shape.circle, key_swatch_color="gray",
     discrete_highlight_color=identity, alphas=[0.5])
)
Day of Month -50 -40 -30 -20 -10 0 10 20 30 40 50 60 70 80 90 -32 -30 -28 -26 -24 -22 -20 -18 -16 -14 -12 -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 -50 0 50 100 -32 -31 -30 -29 -28 -27 -26 -25 -24 -23 -22 -21 -20 -19 -18 -17 -16 -15 -14 -13 -12 -11 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 4 6 8 10 12 14 16 Wind (mph) 30,20 29,18 28,14 26,30 25,14 24,7 23,36 22,23 21,13 20,16 19,24 18,13 17,18 16,46 15,13 14,9 13,28 12,21 11,44 10,24 9,21 8,23 7,20 6,32 5,47 4,91 3,73 2,78 1,96 31,85 30,84 29,118 28,76 26,73 25,168 24,45 22,9 21,21 20,44 19,31 18,23 17,59 16,22 14,65 13,28 12,44 9,110 8,89 7,122 3,16 2,9 1,39 31,59 30,64 29,50 28,82 27,52 26,20 25,108 24,80 21,16 20,63 19,79 18,61 17,35 16,48 15,7 13,27 12,10 10,85 9,97 8,97 7,77 6,40 5,64 3,32 2,49 1,135 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? July August September -180 -160 -140 -120 -100 -80 -60 -40 -20 0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 -160 -150 -140 -130 -120 -110 -100 -90 -80 -70 -60 -50 -40 -30 -20 -10 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 210 220 230 240 250 260 270 280 290 300 310 320 -200 0 200 400 -160 -155 -150 -145 -140 -135 -130 -125 -120 -115 -110 -105 -100 -95 -90 -85 -80 -75 -70 -65 -60 -55 -50 -45 -40 -35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200 205 210 215 220 225 230 235 240 245 250 255 260 265 270 275 280 285 290 295 300 305 310 315 320 Ozone

Scale.size_discrete2

using Compose, Gadfly, RDatasets
set_default_plot_size(14cm, 8cm)

D = groupby(dataset("datasets", "Titanic"), :Class)
Titanic = combine(D, :, :Freq=>(c->100*c./sum(c))=>:prcnt)
filter!(:Survived=>x->x=="Yes", Titanic)
sizemap = n->range(4pt, 12pt, length=n)

plot(Titanic, Scale.x_log10,  Scale.y_log10,
    x=:Freq, y=:prcnt, size=:Class, color=:Age, shape=:Sex,
    Scale.size_discrete2(sizemap, levels=["1st","2nd","3rd","Crew"]),
    Guide.colorkey(pos=[0.1, -0.3h]), Guide.shapekey(pos=[0.5, -0.31h]),
    Guide.ylabel("% of Passenger Class"),
 Theme(discrete_highlight_color=identity, alphas=[0.1], key_swatch_color="grey")
)
Freq 10-3.0 10-2.5 10-2.0 10-1.5 10-1.0 10-0.5 100.0 100.5 101.0 101.5 102.0 102.5 103.0 103.5 104.0 104.5 105.0 105.5 10-2.6 10-2.4 10-2.2 10-2.0 10-1.8 10-1.6 10-1.4 10-1.2 10-1.0 10-0.8 10-0.6 10-0.4 10-0.2 100.0 100.2 100.4 100.6 100.8 101.0 101.2 101.4 101.6 101.8 102.0 102.2 102.4 102.6 102.8 103.0 103.2 103.4 103.6 103.8 104.0 104.2 104.4 104.6 104.8 105.0 10-2.5 100.0 102.5 105.0 10-2.5 10-2.4 10-2.3 10-2.2 10-2.1 10-2.0 10-1.9 10-1.8 10-1.7 10-1.6 10-1.5 10-1.4 10-1.3 10-1.2 10-1.1 10-1.0 10-0.9 10-0.8 10-0.7 10-0.6 10-0.5 10-0.4 10-0.3 10-0.2 10-0.1 100.0 100.1 100.2 100.3 100.4 100.5 100.6 100.7 100.8 100.9 101.0 101.1 101.2 101.3 101.4 101.5 101.6 101.7 101.8 101.9 102.0 102.1 102.2 102.3 102.4 102.5 102.6 102.7 102.8 102.9 103.0 103.1 103.2 103.3 103.4 103.5 103.6 103.7 103.8 103.9 104.0 104.1 104.2 104.3 104.4 104.5 104.6 104.7 104.8 104.9 105.0 1st 2nd 3rd Crew Class 1.30102999566398130.3540867249661558 2.28330122870354971.336357958005724 -Inf,-Inf -Inf,-Inf 1.88081359228079141.0320088912289875 1.87506126339171.0262565623398963 1.1461280356782380.29732333462643423 1.11394335230683670.26513865125503305 1.90308998699194351.4482451269834333 1.1461280356782380.6912831756697279 1.11394335230683670.6590984922983265 1.04139268515822510.5865478251497148 2.1461280356782381.6342446746993637 1.75587485567249151.243991494693617 0.0-0.5118833609788743 0.69897000433601890.18708664335714445 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? Male Female Sex Child Adult Age 10-5 10-4 10-3 10-2 10-1 100 101 102 103 104 105 106 10-4.0 10-3.8 10-3.6 10-3.4 10-3.2 10-3.0 10-2.8 10-2.6 10-2.4 10-2.2 10-2.0 10-1.8 10-1.6 10-1.4 10-1.2 10-1.0 10-0.8 10-0.6 10-0.4 10-0.2 100.0 100.2 100.4 100.6 100.8 101.0 101.2 101.4 101.6 101.8 102.0 102.2 102.4 102.6 102.8 103.0 103.2 103.4 103.6 103.8 104.0 104.2 104.4 104.6 104.8 105.0 10-5 100 105 10-4.0 10-3.9 10-3.8 10-3.7 10-3.6 10-3.5 10-3.4 10-3.3 10-3.2 10-3.1 10-3.0 10-2.9 10-2.8 10-2.7 10-2.6 10-2.5 10-2.4 10-2.3 10-2.2 10-2.1 10-2.0 10-1.9 10-1.8 10-1.7 10-1.6 10-1.5 10-1.4 10-1.3 10-1.2 10-1.1 10-1.0 10-0.9 10-0.8 10-0.7 10-0.6 10-0.5 10-0.4 10-0.3 10-0.2 10-0.1 100.0 100.1 100.2 100.3 100.4 100.5 100.6 100.7 100.8 100.9 101.0 101.1 101.2 101.3 101.4 101.5 101.6 101.7 101.8 101.9 102.0 102.1 102.2 102.3 102.4 102.5 102.6 102.7 102.8 102.9 103.0 103.1 103.2 103.3 103.4 103.5 103.6 103.7 103.8 103.9 104.0 104.1 104.2 104.3 104.4 104.5 104.6 104.7 104.8 104.9 105.0 % of Passenger Class

Scale.x_continuous, Scale.y_continuous

using Gadfly, Random, Printf
set_default_plot_size(21cm, 8cm)
Random.seed!(1234)
p1 = plot(x=rand(10), y=rand(10), Scale.x_continuous(minvalue=-10, maxvalue=10))
p2 = plot(x=rand(10), y=rand(10), Scale.x_continuous(format=:scientific))
p3 = plot(x=rand(10), y=rand(10), Scale.x_continuous(labels=x -> @sprintf("%0.4f", x)))
hstack(p1,p2,p3)
x -0.7000 -0.6000 -0.5000 -0.4000 -0.3000 -0.2000 -0.1000 0.0000 0.1000 0.2000 0.3000 0.4000 0.5000 0.6000 0.7000 0.8000 0.9000 1.0000 1.1000 1.2000 1.3000 -0.6000 -0.5500 -0.5000 -0.4500 -0.4000 -0.3500 -0.3000 -0.2500 -0.2000 -0.1500 -0.1000 -0.0500 0.0000 0.0500 0.1000 0.1500 0.2000 0.2500 0.3000 0.3500 0.4000 0.4500 0.5000 0.5500 0.6000 0.6500 0.7000 0.7500 0.8000 0.8500 0.9000 0.9500 1.0000 1.0500 1.1000 1.1500 1.2000 1.2500 -1.0000 0.0000 1.0000 2.0000 -0.6200 -0.6000 -0.5800 -0.5600 -0.5400 -0.5200 -0.5000 -0.4800 -0.4600 -0.4400 -0.4200 -0.4000 -0.3800 -0.3600 -0.3400 -0.3200 -0.3000 -0.2800 -0.2600 -0.2400 -0.2200 -0.2000 -0.1800 -0.1600 -0.1400 -0.1200 -0.1000 -0.0800 -0.0600 -0.0400 -0.0200 0.0000 0.0200 0.0400 0.0600 0.0800 0.1000 0.1200 0.1400 0.1600 0.1800 0.2000 0.2200 0.2400 0.2600 0.2800 0.3000 0.3200 0.3400 0.3600 0.3800 0.4000 0.4200 0.4400 0.4600 0.4800 0.5000 0.5200 0.5400 0.5600 0.5800 0.6000 0.6200 0.6400 0.6600 0.6800 0.7000 0.7200 0.7400 0.7600 0.7800 0.8000 0.8200 0.8400 0.8600 0.8800 0.9000 0.9200 0.9400 0.9600 0.9800 1.0000 1.0200 1.0400 1.0600 1.0800 1.1000 1.1200 1.1400 1.1600 1.1800 1.2000 1.2200 0.241770964045350920.5445761175114594 0.2515253485363550.1836626037261373 0.54373378966234230.12191065148208302 0.152065840063830620.2928467621813985 0.205668357347620570.08897758484257079 0.492521121594928330.9915352919950947 0.222896086968171870.9006579050473212 0.26824151120450210.8647193474074935 0.284683156843934970.2721795427444307 0.41350206365635720.9898376794030587 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.2 -1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 y x -1.00×10⁰ -8.00×10⁻¹ -6.00×10⁻¹ -4.00×10⁻¹ -2.00×10⁻¹ 0 2.00×10⁻¹ 4.00×10⁻¹ 6.00×10⁻¹ 8.00×10⁻¹ 1.00×10⁰ 1.20×10⁰ 1.40×10⁰ 1.60×10⁰ 1.80×10⁰ -8.500×10⁻¹ -8.000×10⁻¹ -7.500×10⁻¹ -7.000×10⁻¹ -6.500×10⁻¹ -6.000×10⁻¹ -5.500×10⁻¹ -5.000×10⁻¹ -4.500×10⁻¹ -4.000×10⁻¹ -3.500×10⁻¹ -3.000×10⁻¹ -2.500×10⁻¹ -2.000×10⁻¹ -1.500×10⁻¹ -1.000×10⁻¹ -5.000×10⁻² 0 5.000×10⁻² 1.000×10⁻¹ 1.500×10⁻¹ 2.000×10⁻¹ 2.500×10⁻¹ 3.000×10⁻¹ 3.500×10⁻¹ 4.000×10⁻¹ 4.500×10⁻¹ 5.000×10⁻¹ 5.500×10⁻¹ 6.000×10⁻¹ 6.500×10⁻¹ 7.000×10⁻¹ 7.500×10⁻¹ 8.000×10⁻¹ 8.500×10⁻¹ 9.000×10⁻¹ 9.500×10⁻¹ 1.000×10⁰ 1.050×10⁰ 1.100×10⁰ 1.150×10⁰ 1.200×10⁰ 1.250×10⁰ 1.300×10⁰ 1.350×10⁰ 1.400×10⁰ 1.450×10⁰ 1.500×10⁰ 1.550×10⁰ 1.600×10⁰ -1.0×10⁰ 0 1.0×10⁰ 2.0×10⁰ -8.500×10⁻¹ -8.000×10⁻¹ -7.500×10⁻¹ -7.000×10⁻¹ -6.500×10⁻¹ -6.000×10⁻¹ -5.500×10⁻¹ -5.000×10⁻¹ -4.500×10⁻¹ -4.000×10⁻¹ -3.500×10⁻¹ -3.000×10⁻¹ -2.500×10⁻¹ -2.000×10⁻¹ -1.500×10⁻¹ -1.000×10⁻¹ -5.000×10⁻² 0 5.000×10⁻² 1.000×10⁻¹ 1.500×10⁻¹ 2.000×10⁻¹ 2.500×10⁻¹ 3.000×10⁻¹ 3.500×10⁻¹ 4.000×10⁻¹ 4.500×10⁻¹ 5.000×10⁻¹ 5.500×10⁻¹ 6.000×10⁻¹ 6.500×10⁻¹ 7.000×10⁻¹ 7.500×10⁻¹ 8.000×10⁻¹ 8.500×10⁻¹ 9.000×10⁻¹ 9.500×10⁻¹ 1.000×10⁰ 1.050×10⁰ 1.100×10⁰ 1.150×10⁰ 1.200×10⁰ 1.250×10⁰ 1.300×10⁰ 1.350×10⁰ 1.400×10⁰ 1.450×10⁰ 1.500×10⁰ 1.550×10⁰ 1.600×10⁰ 0.41222513004786740.880852259225253 0.45779920933486630.043370203918452255 0.272653487874880640.8728069487822279 0.4798048692089840.5808485473778364 0.45984331586582650.10342428543832671 0.79162361542803780.1666064778573103 0.25541543523148990.21421449025477335 0.44422911872939340.30482132199481793 0.39904406844583750.14478424951524205 0.206663478160763140.28135240621356805 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 y x -35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35 -30 -28 -26 -24 -22 -20 -18 -16 -14 -12 -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 -40 -20 0 20 40 -30 -29 -28 -27 -26 -25 -24 -23 -22 -21 -20 -19 -18 -17 -16 -15 -14 -13 -12 -11 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 0.94645322623138340.0027764596470082337 0.131025656220859040.7285427707652774 0.9671427689153830.40573030892222206 0.83962193405807110.012846056572255682 0.63956159968027340.5239478383832243 0.5203549937237180.8406409194782338 0.0149088492850999450.5257956638691226 0.97213608245546870.08344008943212289 0.41129411794985050.5525344667850608 0.57986212013413240.749719144596962 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 y
using Gadfly, Random
set_default_plot_size(14cm, 8cm)
Random.seed!(1234)
plot(x=rand(10), y=rand(10), Scale.x_log)
x e-11 e-10 e-9 e-8 e-7 e-6 e-5 e-4 e-3 e-2 e-1 e0 e1 e2 e3 e4 e5 e6 e-10.0 e-9.5 e-9.0 e-8.5 e-8.0 e-7.5 e-7.0 e-6.5 e-6.0 e-5.5 e-5.0 e-4.5 e-4.0 e-3.5 e-3.0 e-2.5 e-2.0 e-1.5 e-1.0 e-0.5 e0.0 e0.5 e1.0 e1.5 e2.0 e2.5 e3.0 e3.5 e4.0 e4.5 e5.0 e-10 e-5 e0 e5 e-10.0 e-9.8 e-9.6 e-9.4 e-9.2 e-9.0 e-8.8 e-8.6 e-8.4 e-8.2 e-8.0 e-7.8 e-7.6 e-7.4 e-7.2 e-7.0 e-6.8 e-6.6 e-6.4 e-6.2 e-6.0 e-5.8 e-5.6 e-5.4 e-5.2 e-5.0 e-4.8 e-4.6 e-4.4 e-4.2 e-4.0 e-3.8 e-3.6 e-3.4 e-3.2 e-3.0 e-2.8 e-2.6 e-2.4 e-2.2 e-2.0 e-1.8 e-1.6 e-1.4 e-1.2 e-1.0 e-0.8 e-0.6 e-0.4 e-0.2 e0.0 e0.2 e0.4 e0.6 e0.8 e1.0 e1.2 e1.4 e1.6 e1.8 e2.0 e2.2 e2.4 e2.6 e2.8 e3.0 e3.2 e3.4 e3.6 e3.8 e4.0 e4.2 e4.4 e4.6 e4.8 e5.0 -0.055033727164643960.0027764596470082337 -2.03236212594270870.7285427707652774 -0.033409153355996350.40573030892222206 -0.174803566962804390.012846056572255682 -0.44697233784802960.5239478383832243 -0.65324402008889780.8406409194782338 -4.2058003305748340.5257956638691226 -0.0282594817949346870.08344008943212289 -0.88844670496678920.5525344667850608 -0.54496492760914720.749719144596962 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 y

Scale.x_discrete, Scale.y_discrete

using Gadfly, DataFrames, Random
set_default_plot_size(14cm, 8cm)
Random.seed!(1234)
# Treat numerical x data as categories
p1 = plot(x=rand(1:3, 20), y=rand(20), Scale.x_discrete)
# To perserve the order of the columns in the plot when plotting a DataFrame
df = DataFrame(v1 = randn(10), v2 = randn(10), v3 = randn(10))
p2 = plot(df, x=Col.index, y=Col.value, Scale.x_discrete(levels=propertynames(df)))
hstack(p1,p2)
x v1 v2 v3 1-0.8291152500371494 1-0.8291152500371494 1-0.8291152500371494 20.7413401361728877 20.7413401361728877 20.7413401361728877 30.6170172424120437 30.6170172424120437 30.6170172424120437 12.9620203766588014 12.9620203766588014 12.9620203766588014 20.6586509116697751 20.6586509116697751 20.6586509116697751 3-2.1583878910645438 3-2.1583878910645438 3-2.1583878910645438 1-1.3397752732187238 1-1.3397752732187238 1-1.3397752732187238 2-0.14521411215287314 2-0.14521411215287314 2-0.14521411215287314 3-1.3351065199309675 3-1.3351065199309675 3-1.3351065199309675 10.44133351371484625 10.44133351371484625 10.44133351371484625 2-1.0037270460760221 2-1.0037270460760221 2-1.0037270460760221 30.3758950764140069 30.3758950764140069 30.3758950764140069 10.44394906831563774 10.44394906831563774 10.44394906831563774 2-0.7038240306852442 2-0.7038240306852442 2-0.7038240306852442 30.2921778055340306 30.2921778055340306 30.2921778055340306 10.3455010838287982 10.3455010838287982 10.3455010838287982 20.39900312768017765 20.39900312768017765 20.39900312768017765 3-0.22409763615460646 3-0.22409763615460646 3-0.22409763615460646 1-0.26224077844309135 1-0.26224077844309135 1-0.26224077844309135 20.44530894666202475 20.44530894666202475 20.44530894666202475 30.36125466925468375 30.36125466925468375 30.36125466925468375 12.121560382124172 12.121560382124172 12.121560382124172 21.4387149809794457 21.4387149809794457 21.4387149809794457 30.7121193674099552 30.7121193674099552 30.7121193674099552 11.0612471642396677 11.0612471642396677 11.0612471642396677 2-0.7341529221747826 2-0.7341529221747826 2-0.7341529221747826 3-0.27351845238316713 3-0.27351845238316713 3-0.27351845238316713 1-0.6735379486969075 1-0.6735379486969075 1-0.6735379486969075 20.9859915705211609 20.9859915705211609 20.9859915705211609 3-0.07285920050062863 3-0.07285920050062863 3-0.07285920050062863 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 -9.0 -8.5 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 -10 -5 0 5 10 -9.0 -8.8 -8.6 -8.4 -8.2 -8.0 -7.8 -7.6 -7.4 -7.2 -7.0 -6.8 -6.6 -6.4 -6.2 -6.0 -5.8 -5.6 -5.4 -5.2 -5.0 -4.8 -4.6 -4.4 -4.2 -4.0 -3.8 -3.6 -3.4 -3.2 -3.0 -2.8 -2.6 -2.4 -2.2 -2.0 -1.8 -1.6 -1.4 -1.2 -1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.8 3.0 3.2 3.4 3.6 3.8 4.0 4.2 4.4 4.6 4.8 5.0 5.2 5.4 5.6 5.8 6.0 6.2 6.4 6.6 6.8 7.0 7.2 7.4 7.6 7.8 8.0 8.2 8.4 8.6 8.8 9.0 y x 1 2 3 30.46484850303763725 30.8106990681415074 20.9418310181523856 30.520741404867153 30.4578870482605456 20.13067526601187207 10.4527965951678993 10.7008893474454004 30.5653680870733934 20.6020380841683062 30.7221718560186069 20.3850323159055351 30.22721762712581473 30.41775698944882156 20.7079246996200363 20.20552381705814504 30.05842018425830109 10.3020595409518265 20.2663545639701853 10.26148675076524 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -1.2 -1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 -1 0 1 2 -1.00 -0.95 -0.90 -0.85 -0.80 -0.75 -0.70 -0.65 -0.60 -0.55 -0.50 -0.45 -0.40 -0.35 -0.30 -0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00 y
using Gadfly, RDatasets
set_default_plot_size(21cm,14cm)
# mpg = miles per gallon
mpg = dataset("ggplot2","mpg")
xlabs = Dict(4=>"4 Cyl", 6=>"6 Cyl", 8=>"8 Cyl")
ylabs = Dict("f"=>"front", "r"=>"rear", "4"=>"4-wheel")
plot(mpg[mpg.Cyl.≠5,:], x=:Cty, y=:Hwy, color=:Class,
    xgroup=:Cyl, ygroup=:Drv,
    Geom.subplot_grid( Coord.cartesian(xmin=10), Geom.point,
      layer(slope=[1], intercept=[0], Geom.abline(color="silver", style=:dash))),
    Scale.xgroup(labels=i->xlabs[i], levels=[4,6,8]),
    Scale.ygroup(labels=i->ylabs[i], levels=["f","4","r"]),
    Guide.xlabel("City miles/gallon by Cylinders"),
    Guide.ylabel("Highway miles/gallon by Drive"),
    Theme(colorkey_swatch_shape=:circle)
)
City miles/gallon by Cylinders compact midsize suv 2seater minivan pickup subcompact Class 8 Cyl 6 Cyl 4 Cyl -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50 55 60 65 -16 -14 -12 -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 -20 0 20 40 60 -15 -14 -13 -12 -11 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50 55 60 65 -16 -14 -12 -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 -20 0 20 40 60 -15 -14 -13 -12 -11 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50 55 60 65 -16 -14 -12 -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 -20 0 20 40 60 -15 -14 -13 -12 -11 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 12,18 11,16 11,17 14,20 15,22 15,23 15,22 15,21 12,18 11,17 11,17 15,24 15,25 16,26 15,23 16,26 12,17 13,17 14,20 11,15 14,20 16,24 17,26 18,25 18,26 -60 -50 -40 -30 -20 -10 0 10 20 30 40 50 60 70 80 90 100 110 -50 -45 -40 -35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 -50 0 50 100 -50 -48 -46 -44 -42 -40 -38 -36 -34 -32 -30 -28 -26 -24 -22 -20 -18 -16 -14 -12 -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 94 96 98 100 rear 13,18 11,15 14,17 12,18 13,17 13,19 11,15 12,18 12,18 11,15 11,14 13,18 14,19 9,12 14,17 13,17 11,15 13,17 13,16 13,16 13,17 13,19 11,15 13,17 11,16 11,15 9,12 12,16 13,17 13,17 9,12 12,16 11,15 13,18 11,16 13,17 9,12 13,17 11,15 11,17 9,12 14,19 14,19 14,17 11,15 11,14 14,19 16,23 16,20 15,18 15,19 15,17 16,20 15,17 15,19 14,20 15,17 14,17 13,19 14,17 15,20 15,19 17,22 14,17 14,17 13,19 14,17 15,19 14,17 13,17 14,17 13,17 14,18 15,19 17,25 15,24 15,25 17,25 17,25 15,25 17,22 16,20 15,20 16,20 15,20 20,27 19,25 20,27 20,25 19,26 19,26 19,26 21,26 18,23 20,26 19,25 20,27 18,24 18,25 19,27 20,28 16,25 18,26 -60 -50 -40 -30 -20 -10 0 10 20 30 40 50 60 70 80 90 100 110 -50 -45 -40 -35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 -50 0 50 100 -50 -48 -46 -44 -42 -40 -38 -36 -34 -32 -30 -28 -26 -24 -22 -20 -18 -16 -14 -12 -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 94 96 98 100 4-wheel 16,25 17,26 18,26 16,26 17,24 16,23 17,24 18,27 18,26 18,26 19,28 18,26 18,26 18,28 17,27 16,26 18,26 19,25 19,25 18,26 19,26 19,27 17,24 16,24 17,24 19,28 18,26 18,26 16,23 16,23 15,21 15,22 11,17 17,24 17,24 16,22 16,22 17,24 17,26 18,29 18,26 18,27 18,26 16,26 21,29 19,28 18,29 21,29 19,26 21,29 29,41 35,44 21,29 22,29 19,26 21,29 33,44 22,29 21,29 19,26 21,29 26,35 28,37 26,35 24,33 24,30 22,31 21,31 21,29 21,27 21,31 21,31 21,27 21,29 23,32 23,31 19,27 21,29 20,27 20,28 19,29 19,26 21,31 21,30 18,27 18,26 21,29 24,36 25,36 26,34 24,32 23,29 25,32 24,32 28,33 18,24 22,30 19,27 21,30 20,31 21,29 18,29 -60 -50 -40 -30 -20 -10 0 10 20 30 40 50 60 70 80 90 100 110 -50 -45 -40 -35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 -50 0 50 100 -50 -48 -46 -44 -42 -40 -38 -36 -34 -32 -30 -28 -26 -24 -22 -20 -18 -16 -14 -12 -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 94 96 98 100 front Highway miles/gallon by Drive